Update README.md

README.md

@@ -83,8 +83,8 @@ We test the pairwise comparison on
 **While PairRM is a extremely small model (0.4B) based on deberta, the pairwise comparison aggrement performance approches GPT-4's performance!**
 
 Two reasons to attribute:
-- Our PairRM specically designed model arch for pairwise comparison through bidirectional attention (See paper for more details)
-- The high-quality and large-scale human preference annotation data it was train on (see tags for list)
+- Our PairRM specically designed model arch for pairwise comparison through bidirectional attention (See LLM-blender paper for more details)
+- The high-quality and large-scale human preference annotation data it was train on (see training dataset list on this hugging face page)
 
 
 ## Usage Example